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  • × author_ss:"Sidhom, S."
  1. Sidhom, S.: Numerical training for the information retrieval in medical imaginery : modeling of the Gabor filters (2014) 0.00 
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    Abstract
    We propose, in this work, a method of medical image indexing and research by exploiting their own digital component. We represent the image digital component by a vector of characteristics what we will call: numerical signature of the image. Using the Gabor wavelets, each image of the training medical base is indexed and represented by its characteristics (texture). We thus will build (in offline) a numerical data base of signature. This enables us (in online) to carry out a numerical search for similarity compared to a request image. In order to evaluate the performances we tested our application on a training mammography images basis. The results obtained show well that the representation of the digital component of the images proves to be significant as regards search for information in imagery.
    Date
    5. 9.2014 18:22:35
    Source
    Knowledge organization in the 21st century: between historical patterns and future prospects. Proceedings of the Thirteenth International ISKO Conference 19-22 May 2014, Kraków, Poland. Ed.: Wieslaw Babik
  2. Sidhom, S.; Hassoun, M.: Morpho-syntactic parsing for a text mining environment : An NP recognition model for knowledge visualization and information retrieval (2002) 0.00 
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    Abstract
    Sidhom and Hassoun discuss the crucial role of NLP tools in Knowledge Extraction and Management as well as in the design of Information Retrieval Systems. The authors focus more specifically an the morpho-syntactic issues by describing their morpho-syntactic analysis platform, which has been implemented to cover the automatic indexing and information retrieval topics. To this end they implemented the Cascaded "Augmented Transition Network (ATN)". They used this formalism in order to analyse French text descriptions of Multimedia documents. An implementation of an ATN parsing automaton is briefly described. The Platform in its logical operation is considered as an investigative tool towards the knowledge organization (based an an NP recognition model) and management of multiform e-documents (text, multimedia, audio, image) using their text descriptions.
  3. Sidhom, S.; Hassoun, M.: Morpho-syntactic parsing to text mining environment : NP recognition model to knowledge visualization and information (2003) 0.00 
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